Quotes About Computing

When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.

The process of preparing programs for a digital computer is especially attractive, not only because it can be economically and scientifically rewarding, but also because it can be an aesthetic experience much like composing poetry or music.

Science is what we understand well enough to explain to a computer. Art is everything else we do.

It's worth noting that IBM's program, named Watson, had access to 200 million pages of content consuming four terabytes of memory.

Code is there to explain the comments to the computer.

I've always been at the intersection of computers and whatever they can revolutionize.

I realized that you could formulate theories about human and social phenomena in language and pictures and whatever you wanted on the computer, and you didn't have to go through this straitjacket, adding a lot of numbers.

Oracle's latest database, version 12c, was specifically designed for the cloud. Oracle 12c makes all your Oracle applications multitenant applications without you having to make any changes whatsoever to your applications.

A self-driving car will have 200-plus CPUs. That's a data center on wheels.

The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.

In a sense, there is no such thing as a bargain in computing. Models which are popular sell for the price they are supposed to fetch for the best part of their product cycle.

I had eJay, and then I had Acid Pro. I had a crack of both of them, and I would just make little loops, and then I'd hum along to them. I used to spend a lot of time on a computer looking for music and making beats and stuff.

If you have a MacBook Pro, there is no option to block people. Believe me: I hunted for this blocking option.

With the Google Brain project, we made the decision to build deep learning processes on top of Google's existing infrastructure.

GIS is being influenced by and integrating with all kinds of new innovations such as faster computing, big data, the cloud, smart devices, and distributed processing.

In addition to that, Mono has produced a very large set of extra libraries.

There's no other product that changes function like the computer.

W2K will be a bigger disaster than Y2K.

Trying to explain Turing's work in encryption and decryption? It's complicated.

My own work falls into a subset of AI that is about building artificial emotional intelligence, or Emotion AI for short.

I know about the tech industry in that I follow what apps are hot and software development. I know my way around different browsers. I know how to restart a computer.

Cloud computing offers individuals access to data and applications from nearly any point of access to the Internet, offers businesses a whole new way to cut costs for technical infrastructure, and offers big computer companies a potentially giant market for hardware and services.

The most common things I would go out for would be, like, 'the Lab Technician' on a crime procedural, usually an expert in either a medical or a computer-oriented field.

My earlier exposure to physics certainly helped me in the use of biophysical techniques like crystallography, the use of computing, calculations, etc.